Privacy-Preserved Approximate Classification Based on Homomorphic Encryption

Privacy is a crucial issue for outsourcing computation, which means that clients utilize cloud infrastructure to perform online prediction without disclosing sensitive information. Homomorphic encryption (HE) is one of the promising cryptographic tools resolving privacy issue in this scenario. Howev...

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Main Authors: Xiaodong Xiao, Ting Wu, Yuanfang Chen, Xingyue Fan
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-10-01
Colecção:Mathematical and Computational Applications
Assuntos:
privacy
homomorphic encryption
machine learning
gradient boosting decision tree
Acesso em linha:https://www.mdpi.com/2297-8747/24/4/92
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